Resources
A clearer way to lead AI adoption.
Research, practical frameworks, and executive guidance for turning AI investment into measurable performance.
Field guide
The enterprise AI adoption gap
A practical framework for separating license activity from meaningful behavioral change, and what to measure instead.
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Research brief
What an AI ROI baseline should measure
The five dimensions that reveal whether teams are becoming more capable with AI.
Discuss with our teamLeadership guide
From training to sustained behavior
How to replace one-time enablement with targeted, measurable interventions.
Discuss with our teamBy industry
Guides and articles for your sector
Financial services and banking
- Why license utilization tells your board almost nothing
- Teaching judgment, not tools, under model risk governance
Healthcare systems
- Why ambient documentation savings stall outside the pilot
- Safety culture is the best predictor of clinical AI adoption
Insurance
- The override problem in claims and underwriting
- Cycle time improvement starts with behavior, not workflow
Professional services and consulting
- Utilization pressure is why your firm cannot build AI capability
- Answering the client's AI question with evidence
Energy and utilities
- Knowledge transfer is a behavior problem, not a content problem
- Safety culture both slows and saves your AI programme
Technology and software
- Engineering adoption is the worst proxy for company adoption
- Selling AI while measuring your own adoption
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